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Replication data and code of "Does Exposure to Gender Role Models Increase Women’s Political Ambition? A Field Experiment With Politicians"
Florian Foos and Fabrizio Gilardi
Journal of Experimental Political Science
Date: 27 February 2019
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Replication files:

1. dataset_complete_waves_1_2.rds: Replication dataset; R format

2. quotas.csv: Replication dataset for Figure B1; csv format

3. sf99femdata.csv: Replication dataset for Figure B1; csv format

4. ruedin.csv: Replication dataset for Figure B1; csv format

5. Recoding.R: Recoding of variables in dataset_complete_waves_1_2.rds; R format

6. Analysis.R: Replication code Tables 1-4; R format

7. Appendix.R: Replication code Tables D1, E1, G1, G2, and Figures B1, E1, F1; R format


Software versions:

All data analyses in this article were conducted using R Studio [Version 1.0.136]


Please execute the R code files in the following order:

1. Recoding.R

2. Analysis.R

3. Appendix.R

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Codebook

"treatment"          			Treatment assignment (1=treatment, 0=control)       
"comply"                   		Compliance indicator 1 (1=attended event, 0=did not attend)
"answer"				Compliance indicator 2 (1=replied to invitation, 0=did not reply)  
"block"   				Experimental block (1=main sample period 1, 2=main sample period 2, 3=event assistant)         
"apply"                    		Behavioural outcome (1=applied to mentoring programme, 0=did not apply)                           
"Dem_Gender"                		Baseline; Gender of subject (M_nnlich=male, Weiblich=female)
"Dem_Birthyear_1"          		Baseline; Year of subject's birth (range: 1968-1997)
"Dem_Marital_Status"        		Baseline; Marital status (categorical, 4 categories)
"Dem_Right_to_vote"         		Baseline; Right to vote in Swiss federal elections (binary, Ja = yes, Nein = no)
"Dem_University_Start_1"   		Baseline; University start year (range: 1995-2015)
"Dem_Employment_fathe"     		Baseline; "Was your father employed while you were in school?" (binary; Ja = yes, Nein = no)
"Dem_Employment_mothe"      		Baseline; "Was your mother employed while you were in school?" (binary; Ja = yes, Nein = no)
"Dem_Highest_qual_fat"      		Baseline; Highest educational qualification father (categorical; 5 categories)
"Dem_Highest_qual_mot"      		Baseline; Highest educational qualification mother (categorical; 5 categories)
"Dem_Division"             		Baseline; Subject's university division (categorical; 7 categories)
"Dem_Degree"                		Baseline; Subject's degree type (categorical; 4 categories)
"W1_Future"                 		Baseline; "Are you optimistic about the future?" (ordinal; 5-points scale)
"W1_Professional_Goal"      		Baseline; "Did you begin your studies with a clear career in mind?" (binary; Ja = yes, Nein = no)
"W1_Profession_Entry"      		Baseline; "Do you take an active interest in planning your career entry? (binary; Ja = yes, Nein = no)
"W1_Children"              		Baseline; "Do you wish to have children in the future?" (categorical; 3 categories)
"W1_Skills_Social"         		Baseline; disagree completely - agree completely: "I am good in dealing with people." (ordinal; 5-points scale)
"W1_Skills_Present"        		Baseline; disagree completely - agree completely: "I am good at speaking in front of people." (ordinal; 5-points scale)
"W1_Skills_Network"        		Baseline; disagree completely - agree completely: "I am good at networking." (ordinal; 5-points scale)
"W1_Run_Office"            		Baseline; disagree completely - agree completely: "I could see myself running for office in a few years." (ordinal; 5-points scale)
"W1_Politicians"            		Baseline; disagree completely - agree completely: "How politicians deal with each other is off-putting to me." (ordinal; 5-points scale)
"W1_Gender_Childcare"       		Baseline; disagree completely - agree completely: "Childcare should better be left to women than to men." (ordinal; 5-points scale)
"W1_Gender_Career"         		Baseline; disagree completely - agree completely: "It is more difficult to succeed in a career as a woman thank as a man." (ordinal; 5-points scale)
"W1_Gender_Election"        		Baseline; disagree completely - agree completely: "It is more difficult to be elected into office for women than for men." (ordinal; 5-points scale)
"W1_Gender_Work"            		Baseline; disagree completely - agree completely: "Men and women are equal in professional life." (ordinal; 5-points scale)
"W1_Gender_Politics"        		Baseline; disagree completely - agree completely: "Women often are not taken seriously in politics." (ordinal; 5-points scale)
"W1_Gender_Children"       		Baseline; disagree completely - agree completely: "It is difficult to balance politics with having children."
"W1_Econ_Interst_1"         		Baseline; "How strongly are you interested in the economy?" (ordinal; 0-10-scale)
"W1_Pol_Interest_1"         		Baseline; "How strongly are you interested in the politics?" (ordinal; 0-10-scale)
"W1_Pol_Know_1"             		Baseline; "How would you evaluate you political knowledge?" (ordinal; 0-10-scale)
"W1_Know_Male_Proportion"  		Baseline; "You are now viewing a list of male politicians. Which politicians are running for the National Council in your canton?" (Proportion of correct answers; 0-1) 
"W1_Know_Female_Proportion" 		Baseline; "You are now viewing a list of female politicians. Which politicians are running for the National Council in your canton?" (Proportion of correct answers; 0-1) 
"W2_Run_Office"             		Endline; disagree completely - agree completely: "I could see myself running for office in a few years." (ordinal; 5-points scale)
"W2_Campaign_Media_1"       		Endline; “How often have you followed the news about the election campaign?" (ordinal; 6-points scale)
"W2_Campaign_Online"       		Endline; “How frequently did you follow the campaign online?” (ordinal; 6-points scale)
"W2_Knowledge"    			Endline; “Which politicians got directly elected in the first round of the Swiss Federal Senate election in your canton?” (Proportion of correct answers; 0-1) 